Keep your sensitive data secure and prevent unauthorized access, use, or transmission of your confidential information. Our strategies ensure that your data remains protected against potential threats and breaches.
Our DLP program services help you effectively plan, deploy, and fine-tune strategies to control sensitive data from leaving your network and endpoints. We tailor solutions to meet your organization’s specific needs, ensuring robust protection against data loss.
Achieving full visibility into data movement across your organization is crucial to minimizing insider threats and external attacks on your information infrastructure.
Policy-driven technology can:
By adopting a comprehensive DLP methodology, you ensure ongoing protection for your sensitive data.
Our comprehensive end-to-end DLP service gives you the assurance that your sensitive data is secure within your environment. By identifying proprietary workflows and exceptions, we create a customized program tailored to optimize protection for your organization’s unique needs.
End-user activities like cut/copy/paste, printing, using removable drives, and print screen operations are common methods of data exfiltration on endpoints. Protection is typically achieved through agent-based content analysis on devices such as PCs, laptops, or other endpoints, which monitors and blocks potential breaches based on predefined rule-based policies. This approach ensures sensitive data is safeguarded at the user level, reducing the risk of unauthorized data access or transfer.
Traffic moving through the corporate network often carries confidential data that must be captured and inspected. Controls for network protocols, email, web, and file transfers are commonly used as a precautionary measure due to the large volume of sensitive data handled through these channels. These controls help safeguard data in motion, ensuring its security during transmission across the network.
Scanning confidential information and detecting data leaks from storage targets, such as file servers and cloud platforms, is essential. This critical approach focuses on identifying stagnant data and protecting sensitive information stored in data warehouses, where data spends the majority of its time. Ensuring the security of data at rest is key to preventing unauthorized access and maintaining data integrity.
